export const text2img = {
  '18': {
    inputs: {
      text: 'paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), blurry, (bad anatomy:1.21), (bad proportions:1.331), extra limbs, (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), bad hands, missing fingers, extra digit, (futa:1.1), bad body, NG_DeepNegative_V1_75T,',
    },
    class_type: 'ttN text',
    _meta: {
      title: 'TTN文本',
    },
  },
  '19': {
    inputs: {
      text: '(8k, best quality, masterpiece:1.2)',
    },
    class_type: 'ttN text',
    _meta: {
      title: 'TTN文本',
    },
  },
  '25': {
    inputs: {
      delimiter: ',',
      clean_whitespace: 'true',
      text_a: ['55', 0],
      text_b: ['19', 0],
    },
    class_type: 'Text Concatenate',
    _meta: {
      title: '文本连锁',
    },
  },
  '26': {
    inputs: {
      delimiter: '',
      clean_whitespace: 'true',
      text_a: ['58', 0],
      text_b: ['18', 0],
    },
    class_type: 'Text Concatenate',
    _meta: {
      title: '文本连锁',
    },
  },
  '44': {
    inputs: {
      upscale_type: 'latent',
      hires_ckpt_name: '(use same)',
      latent_upscaler: 'nearest-exact',
      pixel_upscaler: '4x-UltraSharp.pth',
      upscale_by: 1.5,
      use_same_seed: true,
      seed: -1,
      hires_steps: 12,
      denoise: 0.3,
      iterations: 1,
      use_controlnet: false,
      control_net_name: 'control_sd15_random_color.pth',
      strength: 1,
      preprocessor: 'CannyEdgePreprocessor',
      preprocessor_imgs: false,
    },
    class_type: 'HighRes-Fix Script',
    _meta: {
      title: '高清修复',
    },
  },
  '45': {
    inputs: {
      input_mode: 'simple',
      lora_count: 5,
      lora_name_1: 'lcm\\lcm_sd1.5_pytorch_lora_weights.safetensors',
      lora_wt_1: 1,
      model_str_1: 1,
      clip_str_1: 1,
      lora_name_2: 'None',
      lora_wt_2: 0.5,
      model_str_2: 1,
      clip_str_2: 1,
      lora_name_3: 'None',
      lora_wt_3: 0.5,
      model_str_3: 1,
      clip_str_3: 1,
      lora_name_4: 'None',
      lora_wt_4: 1,
      model_str_4: 1,
      clip_str_4: 1,
      lora_name_5: 'None',
      lora_wt_5: 1,
      model_str_5: 1,
      clip_str_5: 1,
      lora_name_6: 'None',
      lora_wt_6: 1,
      model_str_6: 1,
      clip_str_6: 1,
      lora_name_7: 'None',
      lora_wt_7: 1,
      model_str_7: 1,
      clip_str_7: 1,
      lora_name_8: 'None',
      lora_wt_8: 1,
      model_str_8: 1,
      clip_str_8: 1,
      lora_name_9: 'None',
      lora_wt_9: 1,
      model_str_9: 1,
      clip_str_9: 1,
      lora_name_10: 'None',
      lora_wt_10: 1,
      model_str_10: 1,
      clip_str_10: 1,
      lora_name_11: 'None',
      lora_wt_11: 1,
      model_str_11: 1,
      clip_str_11: 1,
      lora_name_12: 'None',
      lora_wt_12: 1,
      model_str_12: 1,
      clip_str_12: 1,
      lora_name_13: 'None',
      lora_wt_13: 1,
      model_str_13: 1,
      clip_str_13: 1,
      lora_name_14: 'None',
      lora_wt_14: 1,
      model_str_14: 1,
      clip_str_14: 1,
      lora_name_15: 'None',
      lora_wt_15: 1,
      model_str_15: 1,
      clip_str_15: 1,
      lora_name_16: 'None',
      lora_wt_16: 1,
      model_str_16: 1,
      clip_str_16: 1,
      lora_name_17: 'None',
      lora_wt_17: 1,
      model_str_17: 1,
      clip_str_17: 1,
      lora_name_18: 'None',
      lora_wt_18: 1,
      model_str_18: 1,
      clip_str_18: 1,
      lora_name_19: 'None',
      lora_wt_19: 1,
      model_str_19: 1,
      clip_str_19: 1,
      lora_name_20: 'None',
      lora_wt_20: 1,
      model_str_20: 1,
      clip_str_20: 1,
      lora_name_21: 'None',
      lora_wt_21: 1,
      model_str_21: 1,
      clip_str_21: 1,
      lora_name_22: 'None',
      lora_wt_22: 1,
      model_str_22: 1,
      clip_str_22: 1,
      lora_name_23: 'None',
      lora_wt_23: 1,
      model_str_23: 1,
      clip_str_23: 1,
      lora_name_24: 'None',
      lora_wt_24: 1,
      model_str_24: 1,
      clip_str_24: 1,
      lora_name_25: 'None',
      lora_wt_25: 1,
      model_str_25: 1,
      clip_str_25: 1,
      lora_name_26: 'None',
      lora_wt_26: 1,
      model_str_26: 1,
      clip_str_26: 1,
      lora_name_27: 'None',
      lora_wt_27: 1,
      model_str_27: 1,
      clip_str_27: 1,
      lora_name_28: 'None',
      lora_wt_28: 1,
      model_str_28: 1,
      clip_str_28: 1,
      lora_name_29: 'None',
      lora_wt_29: 1,
      model_str_29: 1,
      clip_str_29: 1,
      lora_name_30: 'None',
      lora_wt_30: 1,
      model_str_30: 1,
      clip_str_30: 1,
      lora_name_31: 'None',
      lora_wt_31: 1,
      model_str_31: 1,
      clip_str_31: 1,
      lora_name_32: 'None',
      lora_wt_32: 1,
      model_str_32: 1,
      clip_str_32: 1,
      lora_name_33: 'None',
      lora_wt_33: 1,
      model_str_33: 1,
      clip_str_33: 1,
      lora_name_34: 'None',
      lora_wt_34: 1,
      model_str_34: 1,
      clip_str_34: 1,
      lora_name_35: 'None',
      lora_wt_35: 1,
      model_str_35: 1,
      clip_str_35: 1,
      lora_name_36: 'None',
      lora_wt_36: 1,
      model_str_36: 1,
      clip_str_36: 1,
      lora_name_37: 'None',
      lora_wt_37: 1,
      model_str_37: 1,
      clip_str_37: 1,
      lora_name_38: 'None',
      lora_wt_38: 1,
      model_str_38: 1,
      clip_str_38: 1,
      lora_name_39: 'None',
      lora_wt_39: 1,
      model_str_39: 1,
      clip_str_39: 1,
      lora_name_40: 'None',
      lora_wt_40: 1,
      model_str_40: 1,
      clip_str_40: 1,
      lora_name_41: 'None',
      lora_wt_41: 1,
      model_str_41: 1,
      clip_str_41: 1,
      lora_name_42: 'None',
      lora_wt_42: 1,
      model_str_42: 1,
      clip_str_42: 1,
      lora_name_43: 'None',
      lora_wt_43: 1,
      model_str_43: 1,
      clip_str_43: 1,
      lora_name_44: 'None',
      lora_wt_44: 1,
      model_str_44: 1,
      clip_str_44: 1,
      lora_name_45: 'None',
      lora_wt_45: 1,
      model_str_45: 1,
      clip_str_45: 1,
      lora_name_46: 'None',
      lora_wt_46: 1,
      model_str_46: 1,
      clip_str_46: 1,
      lora_name_47: 'None',
      lora_wt_47: 1,
      model_str_47: 1,
      clip_str_47: 1,
      lora_name_48: 'None',
      lora_wt_48: 1,
      model_str_48: 1,
      clip_str_48: 1,
      lora_name_49: 'None',
      lora_wt_49: 1,
      model_str_49: 1,
      clip_str_49: 1,
    },
    class_type: 'LoRA Stacker',
    _meta: {
      title: 'LoRA堆',
    },
  },
  '51': {
    inputs: {
      output_path: '[time(%Y-%m-%d)]',
      filename_prefix: 'text2img_output_final_',
      filename_delimiter: '_',
      filename_number_padding: 4,
      filename_number_start: 'false',
      extension: 'png',
      quality: 100,
      lossless_webp: 'false',
      overwrite_mode: 'false',
      show_history: 'false',
      show_history_by_prefix: 'true',
      embed_workflow: 'true',
      show_previews: 'true',
      images: ['54', 5],
    },
    class_type: 'Image Save',
    _meta: {
      title: '图像保存',
    },
  },
  '52': {
    inputs: {
      ckpt_name: 'majicmixRealistic_v7.safetensors',
      vae_name: 'Baked VAE',
      clip_skip: -2,
      lora_name: 'None',
      lora_model_strength: 1,
      lora_clip_strength: 1,
      positive: ['25', 0],
      negative: ['26', 0],
      token_normalization: 'none',
      weight_interpretation: 'A1111',
      empty_latent_width: 512,
      empty_latent_height: 512,
      batch_size: 1,
    },
    class_type: 'Efficient Loader',
    _meta: {
      title: '效率加载器',
    },
  },
  '54': {
    inputs: {
      seed: 127132725962822,
      steps: 20,
      cfg: 7,
      sampler_name: 'dpmpp_2m',
      scheduler: 'karras',
      denoise: 1,
      preview_method: 'none',
      vae_decode: 'true',
      model: ['52', 0],
      positive: ['52', 1],
      negative: ['52', 2],
      latent_image: ['52', 3],
      optional_vae: ['52', 4],
    },
    class_type: 'KSampler (Efficient)',
    _meta: {
      title: 'K采样器(效率)',
    },
  },
  '55': {
    inputs: {
      text: '一个女孩',
      platform: 'alibaba',
      source: 'auto',
      target: 'en',
    },
    class_type: 'ZFTextTranslation',
    _meta: {
      title: '文本翻译',
    },
  },
  '58': {
    inputs: {
      text: '',
      platform: 'alibaba',
      source: 'auto',
      target: 'en',
    },
    class_type: 'ZFTextTranslation',
    _meta: {
      title: '文本翻译',
    },
  },
};
